BUSI 652 - Predictive Analytics Individual Assignment II The provided dataset "Franchises Dataset" contains data collected from different 100 franchises. The data contains the net profit (million $) for each franchise, the counter sales (million $), the drive-through sales (million $), the number of customers visiting the business daily, the type of the franchise, and the location of the franchise. Address the following questions: a) Develop a decision tree model for the net profit (Here's a sample DT model). Assess the accuracy of the model (Here's a reference link). b) Simulate the decision tree and visualize and interprete the impact of the descriptive features as a root node. c) Develop a Random Forest (RF) prediction model for the net profit. d) Rationalize the selected structure of the model. e) Simulate the model parameters and visualize and interprete the impact of the descriptive features. f) What is the forecast of the net profit, if the counter sales are 500,000 $, drive-through sales are 700,000$, and the franchise is a pizza store located in Richmond, using both models (Decision Tree and Random Forest). Comment on the forecasted value. g) What are the roles of the "max_feature" and the "n_estimators" parameters in the random forest. h) What are the assumptions and limitations of the models? Data Analysis and Visualization Tools: It is recommended to use Python for this assignment.

Net Profit	Counter Sales	Drive-through Sales	number of customers	Business Type	Location
2	8.4	7.7	101	Caf	Vancouver
1.3	3.3	4.5	59	Caf	Vancouver
1.2	5.8	8.4	103	Pizza Store	Richmond
2.4	10	7.8	106	Burger store	Richmond
0.7	4.7	2.4	80	Caf	Richmond
1.3	7.7	4.8	108	Caf	Richmond
1.1	4.5	2.5	81	Caf	Vancouver
2.3	8.6	3.4	139	Burger store	Vancouver
0.9	5.9	2	107	Caf	Vancouver
1.6	6.3	4.1	84	Burger store	Vancouver
2	8.4	7.7	100	Caf	Vancouver
1.3	3.3	4.5	104	Caf	Vancouver
1.7	5.8	8.4	130	Caf	Vancouver
1.4	10	7.8	138	Pizza Store	Vancouver
1.2	4.7	2.4	64	Burger store	Vancouver
1.8	7.7	4.8	79	Burger store	Vancouver
1.6	4.5	2.5	123	Burger store	Vancouver
1.8	8.6	3.4	102	Caf	Vancouver
1.4	5.9	2	115	Burger store	Vancouver
1.1	6.3	4.1	83	Caf	Vancouver
1.5	8.4	7.7	80	Pizza Store	Vancouver
1.3	3.3	4.5	143	Caf	Vancouver
1.2	5.8	8.4	134	Pizza Store	Vancouver
2.4	10	7.8	139	Burger store	Vancouver
1.2	4.7	2.4	53	Burger store	Vancouver
1.3	7.7	4.8	134	Caf	Vancouver
1.1	4.5	2.5	117	Caf	Vancouver
1.3	8.6	3.4	61	Pizza Store	Vancouver
0.9	5.9	2	130	Caf	Vancouver
1.6	6.3	4.1	101	Burger store	Vancouver
2	8.4	7.7	138	Caf	Vancouver
0.8	3.3	4.5	124	Pizza Store	Vancouver
2.2	5.8	8.4	54	Burger store	Vancouver
2.4	10	7.8	76	Burger store	Vancouver
1.2	4.7	2.4	119	Burger store	Vancouver
0.8	7.7	4.8	72	Pizza Store	Vancouver
1.6	4.5	2.5	49	Burger store	Vancouver
1.8	8.6	3.4	93	Caf	Vancouver
0.9	5.9	2	73	Caf	Vancouver
1.6	6.3	4.1	92	Burger store	Vancouver
2	8.4	7.7	119	Caf	Vancouver
0.8	3.3	4.5	102	Pizza Store	Vancouver
1.2	5.8	8.4	103	Pizza Store	Vancouver
1.9	10	7.8	90	Caf	Vancouver
0.7	4.7	2.4	142	Caf	Vancouver
0.8	7.7	4.8	110	Pizza Store	Vancouver
0.6	4.5	2.5	92	Pizza Store	Vancouver
2.3	8.6	3.4	122	Burger store	Vancouver
0.9	5.9	2	136	Caf	Vancouver
1.6	6.3	4.1	124	Burger store	Vancouver
2	8.4	7.7	75	Caf	Vancouver
1.3	3.3	4.5	116	Caf	Vancouver
1.2	5.8	8.4	93	Pizza Store	Vancouver
2.4	10	7.8	94	Burger store	Vancouver
0.7	4.7	2.4	135	Caf	Vancouver
1.8	7.7	4.8	86	Burger store	Vancouver
0.6	4.5	2.5	87	Pizza Store	Vancouver
2.3	8.6	3.4	57	Burger store	Vancouver
0.4	5.9	2	130	Pizza Store	Vancouver
1.1	6.3	4.1	119	Caf	Vancouver
2.5	8.4	7.7	93	Burger store	Vancouver
1.8	3.3	4.5	96	Burger store	Vancouver
2.2	5.8	8.4	97	Burger store	Vancouver
2.4	10	7.8	55	Burger store	Vancouver
1.2	4.7	2.4	97	Burger store	Vancouver
0.8	7.7	4.8	108	Pizza Store	Vancouver
1.1	4.5	2.5	111	Caf	Vancouver
1.3	8.6	3.4	124	Pizza Store	Vancouver
0.9	5.9	2	89	Caf	Vancouver
0.6	6.3	4.1	128	Pizza Store	Vancouver
2.5	8.4	7.7	131	Burger store	Vancouver
1.3	3.3	4.5	72	Caf	Vancouver
2.2	5.8	8.4	125	Burger store	Vancouver
1.9	10	7.8	131	Caf	Vancouver
0.2	4.7	2.4	104	Pizza Store	Vancouver
1.8	7.7	4.8	109	Burger store	Vancouver
1.6	4.5	2.5	46	Burger store	Vancouver
2.3	8.6	3.4	66	Burger store	Vancouver
1.4	5.9	2	67	Burger store	Vancouver
0.6	6.3	4.1	46	Pizza Store	Vancouver
1.7	8.4	7.7	99	Pizza Store	Vancouver
1.8	3.3	4.5	131	Burger store	Vancouver
2.6	5.8	8.4	141	Burger store	Vancouver
1.4	10	7.8	90	Pizza Store	Vancouver
0.2	4.7	2.4	92	Pizza Store	Vancouver
1	7.7	4.8	71	Pizza Store	Vancouver
0.6	4.5	2.5	129	Pizza Store	Vancouver
2.3	8.6	3.4	107	Burger store	Vancouver
1.6	5.9	2	64	Caf	Vancouver
0.6	6.3	4.1	96	Pizza Store	Vancouver
2.5	8.4	7.7	56	Burger store	Vancouver
1.6	3.3	4.5	115	Burger store	Vancouver
1.2	5.8	8.3	83	Pizza Store	Vancouver
1.9	9.8	7.8	94	Caf	Vancouver
1.2	4.7	2.4	62	Burger store	Vancouver
1.8	7.7	4.8	104	Burger store	Vancouver
0.6	4.5	2.5	80	Pizza Store	Vancouver
1.3	9.1	3.4	129	Pizza Store	Vancouver
1	5.9	2.2	85	Caf	Vancouver
1.8	6.3	4.2	133	Burger store	Vancouver

With coding in python